http://qiita.com/bells17/items/5326d11edc6acc4feea2
の EC2 版です
注意点として OS を Linux、 tenancy を Shared に絞っています
ec2.rb
require 'json'
require 'bigdecimal'
results = {}
json_data = open(ARGV[0]) {|io| JSON.load(io) }
# product 情報を取得
json_data['products'].keys.each do |skuNo|
product = json_data['products'][skuNo]
if (product['productFamily'] == 'Compute Instance' and
product['attributes']['locationType'] == 'AWS Region' and
product['attributes']['location'] == 'Asia Pacific (Tokyo)' and
product['attributes']['operatingSystem'] == 'Linux' and
product['attributes']['tenancy'] == 'Shared')
results[product['sku']] = {
sku: product['sku'],
location: product['attributes']['location'],
instanceType: product['attributes']['instanceType'],
instanceTypePrefix: product['attributes']['instanceType'].split('.')[0],
instanceFamily: product['attributes']['instanceFamily'],
vcpu: product['attributes']['vcpu'],
memory: product['attributes']['memory'],
storage: product['attributes']['storage'],
clockSpeed: product['attributes']['clockSpeed'],
networkPerformance: product['attributes']['networkPerformance'],
ecu: product['attributes']['ecu'],
currentGeneration: product['attributes']['currentGeneration'],
price_unit: 'USD'
}
end
end
# price
## on demand
json_data['terms']['OnDemand'].keys.each do |skuNo|
if (results[skuNo])
results[skuNo][:price_per_hour] = Proc.new {
skuTerm = json_data['terms']['OnDemand'][skuNo][json_data['terms']['OnDemand'][skuNo].keys[0]]
priceInfo = skuTerm['priceDimensions'][skuTerm['priceDimensions'].keys[0]]
sprintf('%.3f', BigDecimal(priceInfo['pricePerUnit']['USD']).floor(3).to_f.to_s)
}.call
results[skuNo][:price_per_day] = sprintf('%.3f', (BigDecimal(results[skuNo][:price_per_hour]) * BigDecimal("24")).floor(3).to_f.to_s)
results[skuNo][:price_per_month] = sprintf('%.3f', (BigDecimal(results[skuNo][:price_per_day]) * BigDecimal("30")).floor(3).to_f.to_s)
end
end
## reserved
json_data['terms']['Reserved'].keys.each do |skuNo|
if (results[skuNo])
plans = json_data['terms']['Reserved'][skuNo].values.select do |plan|
plan['termAttributes']['PurchaseOption'] == "All Upfront" # "All Upfront" のものだけ取得したい
end
results[skuNo][:price_reserved_1year_purchased_all_upfront] = sprintf('%.3f', plans.find { |plan|
plan['termAttributes']['LeaseContractLength'] == '1yr'
}['priceDimensions'].values.find {|priceDimension|
priceDimension['description'] == "Upfront Fee"
}['pricePerUnit']['USD'])
results[skuNo][:price_reserved_3year_purchased_all_upfront] = sprintf('%.3f', plans.find { |plan|
plan['termAttributes']['LeaseContractLength'] == '3yr'
}['priceDimensions'].values.find {|priceDimension|
priceDimension['description'] == "Upfront Fee"
}['pricePerUnit']['USD'])
end
end
# sort
sorted_result = {}
results.values.each do |row|
sorted_result[row[:currentGeneration]] ||= {}
sorted_result[row[:currentGeneration]][row[:instanceFamily]] ||= {}
sorted_result[row[:currentGeneration]][row[:instanceFamily]][row[:instanceTypePrefix]] ||= []
sorted_result[row[:currentGeneration]][row[:instanceFamily]][row[:instanceTypePrefix]].push row
end
results = []
['Yes', 'No'].each do |currentGeneration| # 現行世代のものから並べる
sorted_result[currentGeneration].keys.sort.each do |instanceFamily| # インスタンスファミリー毎に並べる
sorted_result[currentGeneration][instanceFamily].keys.sort.each do |instanceTypePrefix|
results.concat sorted_result[currentGeneration][instanceFamily][instanceTypePrefix].sort_by { |row| row[:price_per_hour] }
end
end
end
p results.to_json
上記を保存して以下のように実行する
curl https://pricing.us-east-1.amazonaws.com/offers/v1.0/aws/AmazonEC2/current/index.json > price-AmazonEC2.json
ruby ec2.rb price-AmazonEC2.json | sed -e s/^\"// | sed -e s/\"$// | sed -e 's/\\"/"/g' | jq .
以下のような感じで結果が取れる
[
{
"sku": "Q4QTSF7H37JFW9ER",
"location": "Asia Pacific (Tokyo)",
"instanceType": "c3.large",
"instanceTypePrefix": "c3",
"instanceFamily": "Compute optimized",
"vcpu": "2",
"memory": "3.75 GiB",
"storage": "2 x 16 SSD",
"clockSpeed": "2.8 GHz",
"networkPerformance": "Moderate",
"ecu": "7",
"currentGeneration": "Yes",
"price_unit": "USD",
"price_per_hour": "0.128",
"price_per_day": "3.072",
"price_per_month": "92.160",
"price_reserved_1year_purchased_all_upfront": "753.000",
"price_reserved_3year_purchased_all_upfront": "1528.000"
},
{
"sku": "HTNXMK8Z5YHMU737",
"location": "Asia Pacific (Tokyo)",
"instanceType": "c3.xlarge",
"instanceTypePrefix": "c3",
"instanceFamily": "Compute optimized",
"vcpu": "4",
"memory": "7.5 GiB",
"storage": "2 x 40 SSD",
"clockSpeed": "2.8 GHz",
"networkPerformance": "Moderate",
"ecu": "14",
"currentGeneration": "Yes",
"price_unit": "USD",
"price_per_hour": "0.255",
"price_per_day": "6.120",
"price_per_month": "183.600",
"price_reserved_1year_purchased_all_upfront": "1505.000",
"price_reserved_3year_purchased_all_upfront": "3032.000"
},
{
"sku": "YR67H6NVBRN37HRZ",
"location": "Asia Pacific (Tokyo)",
"instanceType": "c3.2xlarge",
"instanceTypePrefix": "c3",
"instanceFamily": "Compute optimized",
"vcpu": "8",
"memory": "15 GiB",
"storage": "2 x 80 SSD",
"clockSpeed": "2.8 GHz",
"networkPerformance": "High",
"ecu": "28",
"currentGeneration": "Yes",
"price_unit": "USD",
"price_per_hour": "0.511",
"price_per_day": "12.264",
"price_per_month": "367.920",
"price_reserved_1year_purchased_all_upfront": "3012.000",
"price_reserved_3year_purchased_all_upfront": "8132.000"
},
...
]